Artificial intelligence is changing every business.
Don't be left behind.

March 26-27, 2018
St. Regis Hotel
San Francisco, CA


AI impacts every industry, and every day we see human-computer interaction becoming increasingly natural and intuitive. But for many it’s difficult to discern facts from fiction.

EmTech Digital does just that–giving you the insight and intelligence you need to navigate this rapidly shifting landscape.

Which technologies are making significant progress? How does their commercialization affect your business? What do you need to know right now to stay ahead of the curve?

EmTech Digital is where the discerning lens of the world’s preeminent technology university meets Silicon Valley. Over the span of two days you’ll:

- Gain a working understanding of complex tech that’s driving business innovation.

- Learn to harness these technologies to build a competitive business advantage: increase revenue, ensure security, and make smart hires in a changing workforce.

- Get clear insights that help you cut through the noise around AI and chart your strategy.

- Meet the sharpest minds in the technology, management, startup, engineering, and academic communities–the people leading the next wave of intelligent technologies.

This Year's Themes

  • The latest in AI research

    What can we learn from advances in deep learning in recent years? What are limitations of the current technologies in use today?
  • Measuring intelligence in machines

    What are we teaching AI systems to do? What are the implications? How will security be addressed in intelligent systems?
  • Industry impact of AI

    Every global industry will experience disruption. From the enterprise to healthcare to transportation, we will examine the opportunities as the use of intelligent solutions expands around the world.
  • AI in Asia

    Lessons from China’s massive AI revolution.
  • Ethics in AI

    From addressing bias in society, online and off, to rethinking education, AI is at the heart of timely and far-reaching societal discussions.

Who Should Attend

EmTech Digital is for senior executives responsible for information, technology, security, strategy, and marketing–those charged with driving innovation and product development across industries and sectors within their business.

EmTech Digital is a must-attend for:
- C-Level Executives
- Heads of Innovation
- VC/Investors
- VPs of Strategy
- VPs of Product Planning
- R&D Specialists
- IT Decision Makers


The innovators at the heart of the next wave of the digital revolution are here.

See All Speakers Hide Speakers
  • Oren

    Chief Executive Officer, Allen Institute for Artificial Intelligence

    Dr. Oren Etzioni is chief executive officer of the Allen Institute for Artificial Intelligence. He has been a professor at the University of Washington’s computer science department since 1991. He is also the founder or cofounder of several companies, including Farecast (sold to Microsoft in 2008) and Decide (sold to eBay in 2013), and the author of over 100 technical papers that have garnered over 23,000 citations. The goal of Oren’s research is to solve fundamental problems in AI, particularly the automatic learning of knowledge from text. Oren received his PhD from Carnegie Mellon University in 1991 and his BA from Harvard in 1986.
  • Zoubin

    Professor of Information Engineering, University of Cambridge; Chief Scientist, Uber

    Zoubin Ghahramani is a professor of information engineering at the University of Cambridge and chief scientist at Uber. He is also deputy director of the Leverhulme Centre for the Future of Intelligence and a fellow of St. John's College. He was a founding Cambridge director of the Alan Turing Institute, the U.K.’s national institute for data science. He has worked and studied at the University of Pennsylvania, MIT, the University of Toronto, the Gatsby Unit at University College London, and Carnegie Mellon University. His research focuses on probabilistic approaches to machine learning and artificial intelligence, and he has published over 250 research papers on these topics. He was cofounder of Geometric Intelligence (now Uber AI Labs) and advises a number of AI and machine-learning companies. In 2015, he was elected a fellow of the Royal Society for his contributions to machine learning.
  • Dario

    Vice President, AI and IBM Q, IBM Research

    Dr. Gil is a leading technologist and senior executive at IBM. As vice president of AI and IBM Q, Dr. Gil is responsible for IBM's artificial-intelligence research and for its commercial quantum computing program (IBM Q). Dr. Gil was previously the VP of Science and Solutions, directing a global organization of 1,500 researchers across 12 laboratories with a broad portfolio of activities spanning the physical sciences, the mathematical sciences, and industry solutions based on AI, IoT, blockchain, and quantum technologies. His research results have appeared in over 20 international journals and conferences, and he is the author of numerous patents. Dr. Gil is an elected member of the IBM Academy of Technology. He received his PhD in electrical engineering and computer science from MIT.
  • Ken

    Professor, UC Berkeley

    Ken Goldberg is an artist, inventor, and UC Berkeley professor. He is chair of the Industrial Engineering and Operations Research Department, with secondary appointments in EECS, art practice, the School of Information, and radiation oncology at the UCSF Medical School. Ken is director of the CITRIS “People and Robots” Initiative and the UC Berkeley Autolab, where he and his students pursue research in geometric algorithms and machine learning for robotics and automation in surgery, manufacturing, and other applications. Despite agonizingly slow progress, he persists in trying to make robots less clumsy. He has over 250 peer-reviewed publications and eight U.S. patents. He cofounded and served as editor in chief of IEEE Transactions on Automation Science and Engineering. Ken’s artwork has appeared in 70 exhibits, including the Whitney Biennial, and films he has co-written have been selected for Sundance and nominated for an Emmy Award. Ken was awarded the NSF Presidential Faculty Fellowship by President Bill Clinton in 1995, elected an IEEE Fellow in 2005, and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016.
  • Wu

    Technical Chief, Natural Language Processing, Baidu

    Wu Hua is the technical chief of Baidu’s natural-language processing department and the president of the Baidu Technical Committee. Her research fields include machine translation, natural-language processing (NLP), machine learning, dialogue systems, and the knowledge graph.

    Over her seven years at Baidu, she and her team have achieved multiple technology breakthroughs in NLP and machine translation, many of which have been successfully deployed in a range of Baidu products used by hundreds of millions of users. Wu Hua also cofounded the Baidu Translate project, which provides instant, free multilingual text translation, and built the core technology for Baidu’s personal assistant.

    Before joining Baidu, she was with Microsoft Research Asia and Toshiba Research Center, where she worked on NLP and machine translation. She holds a PhD from the Chinese Academy of Sciences in NLP and machine translation.
  • Brenden

    Assistant Professor of Psychology and Data Science, NYU

    Brenden M. Lake is an Assistant Professor of Psychology and Data Science at New York University. He received his M.S. and B.S. in Symbolic Systems from Stanford University in 2009, and his Ph.D. in Cognitive Science from MIT in 2014. He was a postdoctoral Data Science Fellow at NYU from 2014-2017. Brenden is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. His research has been covered by many news outlets (New York Times, Washington Post, MIT Technology Review, etc.), and was selected by Scientific American as one of the most important advances of 2016. Brenden's research focuses on computational problems that are easier for people than they are for machines, such as learning new concepts, creating new concepts, learning-to-learn, and asking questions.
  • Jia

    Head of R&D, Cloud AI, and ML, Google

    Jia Li is Google’s head of R&D, cloud AI, and machine learning. Before joining Google, she was the head of research at Snap, leading research innovation, and led the visual computing and learning group at Yahoo Labs. Jia received her PhD in computer science from Stanford University. She is program chair of the ACM Multimedia Conference 2017, associate editor of The Visual Computer: International Journal of Computer Graphics, and an industrial advisory board member of the Computer Vision Foundation. In 2014, she was selected to receive the Super Star award at Yahoo, the highest award at the company. She was also awarded the Master Inventor Award for her innovations in computer vision, machine learning, artificial intelligence, mobile vision, e-commerce, product recommendation, and image search. She was the leader of the team that won first prize in the Semantic Robotics Vision Challenge sponsored by the NSF and AAAI in 2007. Her work has been widely reported in Ars Technica, ZDNet, GigaOm, Venture Beat, the Mirror, Business Insider, New Scientist, MIT Technology Review, and other media. She was listed as one of the “Secret Power Players Who Run Snapchat” by Business Insider in 2016.
  • Terah

    Founding Executive Director, Partnership on AI

    Terah Lyons is the founding executive director of the Partnership on AI (PAI). Before joining PAI, Terah was at the Mozilla Foundation, where she was most recently a Technology Policy Fellow. Prior to that she served as policy advisor to the U.S. chief technology officer at the White House Office of Science and Technology Policy. Her primary area of expertise is technology governance, with a specific focus on machine intelligence, AI, and robotics.

    While at the White House, Terah co-directed the White House Future of Artificial Intelligence Initiative, which engaged industry, the academic and technical community, civil society, and international stakeholders to formulate recommendations for a domestic policy strategy on machine intelligence.
  • Tess

    Executive Director, AI4ALL

    Tess Posner is a social entrepreneur focused on increasing equity and inclusion in the tech economy. As executive director of AI4ALL, she is creating opportunity for underrepresented groups in the artificial-intelligence field through education programs and peer, mentor, and professional supports. Before joining AI4ALL, she was managing director of TechHire at Opportunity@Work, a national initiative launched out of the White House to increase diversity in the tech economy, where she oversaw the network of 72 cities, states, and rural areas and 1,300+ companies creating more inclusive education and hiring pathways. Earlier in her career, Tess built and ran Samaschool, a nonprofit that equips low-income people to find work in the digital economy through an online platform training 50,000+ students worldwide and a dozen diverse locations from New York City to rural Arkansas to East Africa. Tess’s work has been featured by Business Insider, TechCrunch, and Fast Company and funded by the Tipping Point Community, JPMorgan Chase, the California Endowment, and the Robin Hood Foundation. She holds a master’s degree from the Columbia University School in Social Enterprise Administration and a bachelor’s in liberal arts from St. John’s College.
  • Matt

    Director, AWS Deep Learning, Amazon Web Services

    Dr. Matt Wood is part of the technical leadership team at Amazon Web Services, pulling from over a decade of expertise in distributed systems, architecture, Web-scale analytics, big data, machine learning, and high-performance computing to help customers bring their ideas to life through technology. After medical school, Dr. Wood completed his PhD in machine learning and bioinformatics, joined Cornell as a research fellow, and contributed to the next-generation DNA-sequencing platform at the Wellcome Trust Sanger Institute. Since joining Amazon Web Services in early 2010, he has played a role in introducing many significant new features and services to customers on the AWS Cloud, including AWS Lambda, Amazon Kinesis, and Amazon Machine Learning.

St. Regis San Francisco

125 Third Street
San Francisco, CA 94103

Registration check-in: 2nd floor
General sessions: 2nd floor

A limited number of discounted hotel rooms have been made available. Make your reservation early, as rooms will likely sell out.

EmTech Digital 2018 Schedule

It’s not another lecture … it’s an invitation to join the conversation.

Monday, March 26, 2018

  • 8:00
    Registration & Breakfast
  • 9:00
    General sessions
  • 10:30
    Break & Networking
  • 11:00
    General sessions
  • 12:30
    Lunch & Networking
  • 2:00
    General sessions
  • 3:30
    Break & Networking
  • 4:00
    General sessions
  • 5:30
    EmTech Digital Reception

Tuesday, March 27, 2018

  • 8:00
    Registration & Breakfast
  • 9:00
    General sessions
  • 10:30
    Break & Networking
  • 11:00
    General sessions
  • 12:30
    Lunch & Networking
  • 2:00
    General Sessions
  • 3:30
    Break & Networking
  • 4:00
    General sessions
  • 5:30
    Closing Toast

Speaker Nominations

We’re gathering the experts who’ll give you the inside track on the technologies and businesses that are disrupting industries, creating entirely new markets, and changing society.

News + Views


The Next Big Step for AI? Understanding Video

Perceiving dynamic actions could be a huge advance in how software makes sense of the world.


This VR Exhibit Lets You Connect with the Human Side of War

A pioneering photojournalist hopes VR can restore war photography’s dramatic power to influence and inform us.


New AR Display Nestles Digital Images Into Real Life Way More Accurately

Researchers built a prototype display that can arrange a digital teapot in front of some objects and behind others, controlling which pixels are occluded.


Hacking Back Makes a Comeback—But It’s Still a Really Bad Idea

Some politicians want to make it legal for individuals and companies in America to pursue digital assailants.

What’s EmTech Digital All About?

Watch video from last year's conference to meet the leaders, understand the tech, and gain a business advantage.

Venue + Travel

March 26-27, 2018
St. Regis Hotel
San Francisco

St. Regis Hotel

The 5-star St. Regis San Francisco hotel embodies extraordinary hospitality with modern-day sophistication. This luxury hotel features 306 guest rooms and suites, all equipped with rainforest showers, minibars, and several flat-screen TVs (including one in the bathroom). You’ll find yourself in the heart of one of the city's most vibrant neighborhoods with the most exciting galleries, San Francisco attractions, events, restaurants, and shopping. The San Francisco Museum of Modern Art, the new Jewish Contemporary Museum, the financial district, and Union Square's select stores are all minutes away. A brief stroll takes you to the hill-climbing delights of the city's legendary cable cars, and the Golden Gate Bridge leads you to the bucolic charms of wine country.

Hotel information

St. Regis

Discounted Conference Rate:
$425/night +tax
See more details

125 Third Street
San Francisco, CA 94103

Online reservations +

You may also reserve a room by calling St. Regis Central Reservations at 1-866-225-0397. Be sure to mention MIT Technology Review EmTech Digital to receive the discounted rate. 

The group rate is available until March 3, 2018.


The St. Regis San Francisco enjoys an artful address, just steps from the top things to do in San Francisco. The Museum of the African Diaspora, featuring the rich history of African art and culture, is conveniently located within the hotel. In addition, the renowned San Francisco Museum of Modern Art showcases noteworthy talent directly next door, and the vibrant new Jewish Contemporary Museum stands less than one block from the hotel. The financial district and Union Square's select stores are minutes away, offering a plethora of things to do in San Francisco. A brief stroll takes you to the hill-climbing delights of the city's legendary cable cars, and the Golden Gate Bridge leads you to the bucolic charms of wine country.

Driving from the North Bay

Sausalito, Tiburon, Muir Woods, Sonoma

• Take Highway 101 South over the Golden Gate Bridge.
• Follow signs towards Downtown San Francisco/Lombard Street.
• Continue on Lombard Street approximately 1.5 miles.
• Turn right onto Van Ness Avenue.
• Continue on Van Ness Avenue for 14 blocks, then turn left onto Bush Street.
• Continue on Bush Street for 12 blocks.
• Then turn right onto Montgomery Street.
• Continue on Montgomery Street and cross Market Street.
• Continue 2 more blocks to Howard Street. Turn right onto Howard Street.
• Proceed 1 block to Third Street and turn right.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from the South Bay

San Francisco International Airport, Santa Clara, San Jose, Monterey, Carmel

• Take Highway 101 North into San Francisco.
• Follow signs towards Bay Bridge onto Interstate 80 East.
• Take the last San Francisco Exit, which is Fourth Street.
• Continue through the light and turn left onto Third Street.
• Proceed along Third Street and continue for 3.5 blocks.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from Highway 280

• Take Interstate 280 North into San Francisco.
• Stay on the freeway until it ends onto King Street.
• Proceed several blocks to Third Street.
• Turn left onto Third Street
• Continue along Third Street for 6.5 blocks.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from East Bay

Oakland, Berkeley, Emeryville, Sacramento

• Take Interstate 80 West over the Bay Bridge into San Francisco.
• Take the first right exit, which is Fremont Street.
• Turn left onto Fremont Street. Proceed 0.5 blocks to Howard Street and turn left.
• Continue on Howard Street for 4 long blocks, and turn right onto Third Street.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from Oakland Airport

• Follow the signs for Interstate 880 North, towards downtown Oakland.
• Follow the signs towards San Francisco, Interstate 80 West.
• Proceed on I-80 West over the Bay Bridge, and follow the "Driving from East Bay" directions.

A Tradition in Technology

For more than 115 years, MIT Technology Review has been identifying important new technologies and deciphering their practical impact.

We've brought that mission and our journalism to life through EmTech since 1999, gathering the sharpest minds in the technology, engineering, academic, startup, and management communities to provide insight into the innovations that shape the world and your business.

We host EmTech events in the US, Asia, China, Dominican Republic, France, Hong Kong, India, and Mexico.


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2017 Featured Speaker

Peter Lee
Corporate Vice President, Microsoft Research

Lab to Market: Machine Learning in Practice

Register now

Reserve your seat.

Registration includes two full conference days and two evening receptions on Monday & Tuesday, March 26-27. Paying attendees are also offered a complimentary one-year Insider Basic subscription.

Coming Soon: The AI Newsletter with insight on the latest innovations in artificial intelligence delivered daily to your inbox.

We are pleased to offer discounts to MIT alumni and other members of the MIT community, non-profit organizations, select affiliate groups, and parties of three or more. Email to inquire about your eligibility:

  • Media Registration

    To request a media pass for an MIT Technology Review conference, please fill out the media registration form.

    Media passes are limited, and are granted only to working journalists who intend to cover the event (see media and analyst required credentials on the form). The information you submit will be reviewed carefully, so please be as detailed as possible when filling out the form. Media credential approval for a prior MIT Technology Review conference does not guarantee approval for this event.

    Email with any questions.

  • Cancellation Policy

    If you cancel your registration for EmTech Digital for any reason, you must notify us in writing before February 26, 2018, for a refund less a $295 processing fee. Cancellations on and after February 26 are nonrefundable. You may transfer your registration to another person at any time by providing authorization to us in writing. All cancellations and transfer requests should be sent to:

  • Attendee Code of Conduct

    The mission of MIT Technology Review is to inform our audience about important new technologies. We have curated a series of discussions that includes a wide range of views on the most significant technologies and trends of the year. We value diversity of ideas and perspectives from our speakers and our audience. We are proud to bring varying points of view to our stage, and are committed to providing a respectful environment for our speakers and audience. By joining us at an event, you agree to maintain a respectful environment during all parts of the program.

    By registering for this event, you acknowledge that you may receive promotional messages from the event sponsor(s). You may adjust your preferences at any time by clicking on the link in the email.